Dr Gordon Inverarity

Gordon improves the accuracy and efficiency of the analysis (forecast initial conditions).

Current activities

Gordon seeks to improve the accuracy and efficiency of data assimilation algorithms by applying his knowledge of mathematics, physics, meteorology and computer programming to enhance the Met Office's operational data assimilation software.

Gordon is studying methods for improving the assimilation of observational data into the UKV configuration of the Unified Model to further improve the regional forecast's accuracy by

  • enhancing the CVT covariance calibration software;
  • studying alternative covariance models for regional data assimilation;
  • seeking to incorporate large-scale information from the driving global forecast configuration into the regional forecast configuration.

Career background

Following a degree in applied mathematics and a doctorate in MHD turbulence in solar and laboratory plasmas, Gordon stayed at the University of St Andrews for another eighteen months studying MHD reconnection as a postdoctoral researcher in the solar theory group . On joining the Met Office in 1996, his initial work in the Meteorological Research Flight (now part of Observation Based Research) focused on processing data from the research aircraft's inertial and satellite navigation systems, wind measuring system and temperature probes. His next post in the Orography group involved studying the theory of inertia-gravity waves. Gordon started his present job in 2003.

Gordon has also been involved in research into submarines at ARE Haslar in Gosport (now part of  Qinetiq) and experimental nuclear fusion reactors at Culham Laboratory (now  Culham Centre for Fusion Energy) through sponsorship of his respective degrees.

External Recognition

Gordon received the Royal Meteorological Society  Quarterly Journal editors' review award for 2006.

Last updated: 10 April 2014


Dr Gordon Inverarity

Gordon Inverarity

Areas of expertise:

  • Variational data assimilation
  • Kalman filters

  Publications by Gordon Inverarity